Food and beverage manufacturing execution system (MES)
Shift workers record consumption of raw materials, quantities produced and downtime. The manager sees the progress of a specific batch of food and can investigate material losses in time.
In shift quantities, good output, process returns, and real waste mix; the stop record has no reliable connection to the batch produced at the time. The master and technologist cannot determine in time where the unexplained quantity was generated and what action is needed.
How the solution works
- The operator receives the task with an approved version of the prescription and instructions.
- Used batches of raw materials, quantities and actual working hours are recorded at the operation.
- Stopping, non-conformity or material change is passed on to the responsible employee; permission to continue is retained.
- The quantity received, returned, transferred for processing and packaged shall be checked in accordance with product accounting rules.
- Confirmed execution facts are transmitted for planning, quality assessment and cost accounting.
Key challenges
- Production data is recorded too late
- Causes of Yields and Losses Unseen at batch Level
Solution capabilities
Task and Approved Version
The production task specifies a specific version of the product and instructions and allowed actions.
Actual material consumption
The batches of ingredients and packaging are linked to the operation, quantity and return.
Registration of operations and stops
The time and reason for stopping are recorded in the workplace; the signal of the equipment is separated from the cause approved by the employee.
Explanation of yield and loss
Consumption is compared to the quantity received by estimating the validated technological change, recycling and units of account measurement.
Transmission of a deviation
The specialist in charge receives a notification of an unauthorized change or missing approval along with the batch and production task data.
Business context
- Production data is recorded too late
- In shift quantities, good output, process returns, and real waste mix; the stop record has no reliable connection to the batch produced at the time. The master and technologist cannot determine in time where the unexplained quantity was generated and what action is needed.
- Causes of Yields and Losses Unseen at batch Level
- Raw material consumption, losses, reprocessing and final quantity are assessed separately. It is unclear which batch of production and operation caused the cost difference. The team cannot accurately estimate the cost of a similar order or choose a suitable process change. Price negotiations are based on an average that may not show the result of a specific product.
- More precisely, the cost of the product and the order are valued
- The cost of a food product also depends on the actual consumption of raw materials, yield and production losses. Linking this data to the batch makes it easier to assess the price and quantity offered by the customer. The production process also helps inform the buyer in time about the planned readiness for shipment.
Core features
- Task and Approved Version
- Actual material consumption
- Registration of operations and stops
- Explanation of yield and loss
- Transmission of a deviation
Key integrations
- Enterprise resource planning system (ERP)
- The production task, the approved version of the product and the actual quantities are returned.
- Warehouse management system (WMS)
- In fact, batches and returns of raw materials and packaging have been provided.
- Equipment Data Sources
- Weighing, counters, operating mode and time data with an operation connection.
- Quality and traceability process
- Verification requirement, batch restrictions and linked enforcement facts.
Potential impact (%)
The ranges indicate an illustrative relative change in the metric under the stated assumptions. Results depend on the starting position and actual use of the solution. Percentages for different metrics must not be added together.
Delay in recording the fact of production
6–25%Decreasing
This illustrative scenario assumes that 20-50% of waiting caused by missing information or unclear responsibility can be addressed. That share is assumed to fall by 30-50%. Company data is needed to verify both the addressable share and the resulting change.
The time from the actual event to the confirmed record is measured, separating automatic and manual data.
Unexplained difference in batch materials
12–42%Decreasing
This illustrative scenario assumes that 30-60% of errors can be addressed through the data and rule checks described. That share is assumed to fall by 40-70%. Company data is needed to verify both the addressable share and the resulting change.
Comparing the remaining unexplained quantities for similar recipes and processes; the technological change in quantity is accounted for separately.
Conditional calculation scenarios. The assumptions have not been validated against client measurements.
When this solution is relevant
- The amount of shift has to be repaired as the returned mass, packaging defect and real waste are registered with a single loss code.
- The line's stop is visible on the device, but it is unclear which batch's quantity and completion it affected.
Project scope and implementation
Data collection can be implemented as a development of the production execution system used or integration of workshop jobs and equipment. If a wider solution is developed, there is consensus for a review of the progress of the whole batch, the balance of materials and the quality of transmission. Accounting and warehouse data are combined under clear responsibility.
Further development options
- Recyclable material relationship between multiple production batches
- Checking the causes of stops by equipment signals